The Columbia University was awarded a $100,000 Project Grant from the National Science Foundation Division of Computer and Network Systems on October 1, 2021 to be completed by September 30, 2022. The grant supports research under the Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing and information sciences through investigator-initiated research and cyberinfrastructure development. Specifically, the Columbia University will conduct...
This three-year, $260,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund research towards designing optimal statistical learning procedures through precise medium-dimensional asymptotic analysis. The grantee, Columbia University, will develop a novel analytical framework to quantitatively characterize the performance of diverse learning algorithms and provide guidance on...
This Project Grant award of $240,000 from the National Science Foundation's (NSF) Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), supports research at Columbia University on unsupervised learning and nonlinear dimension reduction. The award aims to advance statistical foundations for analyzing complex, high-dimensional datasets by: (1) developing new empirical Bayes methods to model latent parameter distributions directly from data, and...
The Trustees of Columbia University in the City of New York (Columbia University) was awarded a $394,840 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research into advancing the mathematical and algorithmic development of nonlocal models involving finite-range nonlocal interactions through July 2026. Specifically, Columbia University will focus on analytical and algorithmic solutions for nonlocal problems...
The National Science Foundation awarded a $666,000 Project Grant to The Trustees of Columbia University in the City of New York (Columbia University) through the Computer and Information Science and Engineering Program (CFDA #47.070). The objective is to improve the performance, robustness, generalizability, and efficiency of deep learning models for software assurance tasks such as bug detection, debugging, test input generation, and test suite prioritization. The research focuses on encoding...
The Trustees of Columbia University in the City of New York (Columbia University) was awarded a $329,639 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant funds the development of novel statistical methodology to model, analyze, and predict the evolution of geometric and topological features in random objects over time. Columbia University researchers will establish...
The National Science Foundation awarded $739,500 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to The Trustees of Columbia University in the City of New York for the project "III: TOWARDS CAUSAL FAIR DECISION-MAKING" from May 15, 2021 through April 30, 2024. The funding will support investigator-initiated research and education in computing, communications, and information science and engineering to advance the development and use of...
This Project Grant award for $117,910 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop new statistical estimation methods and algorithms that can efficiently process complex, high-dimensional datasets. The research will focus on three key areas: (1) providing rigorous theoretical guarantees for the performance of high-dimensional statistical estimation techniques, (2) establishing computational limits and efficiencies for modern...
The Trustees of Princeton University was awarded a $150,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant supports the collaborative research project "Foundations of Deep Learning: Theory, Robustness, and the Brain?" taking place from December 2021 through November 2024 in Princeton, New Jersey. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in...
The National Science Foundation Division of Computing and Communication Foundations awarded a $300,000 Project Grant to Columbia University for research titled "Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain" under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award running from December 2021 through November 2024 will support research into the theoretical foundations of deep learning techniques with a focus on...